We want to deploy automated AI workflows to handle our customer onboarding and high-volume scheduling, but we are struggling to define who is actually accountable for these automated systems. How do we assign ownership for AI tools on our Accountability Chart?
As you integrate generative AI and automated systems into your operations, you must avoid the trap of treating technology as an unaccountable entity. An AI tool or automation platform cannot occupy a seat on your Accountability Chart because a software program cannot be held personally accountable for results.
To maintain clear ownership, every automated workflow must roll up to a human seat on the Accountability Chart. That person must GWC the automated process. This means they get the technology, want the responsibility of managing it, and have the capacity to monitor its performance.
If you automate your customer onboarding, the person in the customer success seat still owns the metric for onboarding speed and accuracy. If the AI system fails, breaks, or generates incorrect data, that human leader is responsible for diagnosing the issue and correcting the workflow.
When designing your Accountability Chart, explicitly list AI system oversight as a bulleted role under the appropriate seat. This ensures that as your operations become more automated, your human leaders remain fully accountable for the ultimate outcomes.
Technology is simply a tool that leverages human capacity, and the buck always stops with a person on your leadership team.
Category: EOS Implementation